Data Science & ML MCP Servers

Qdrant-OpenAI

Enables semantic search in Qdrant vector databases using OpenAI embeddings.

Image Analyzer

Analyzes the content of images from provided URLs using the GPT-4-turbo model.

Biomart

Interfaces with Biomart databases using the Model Context Protocol (MCP) to provide biological data to Large Language Models.

PI API

Provides a Model Context Protocol (MCP) server for interacting with the PI Dashboard API.

Options Chain

Provides options chain data and historical prices from the Tradier Sandbox API for use within Claude Desktop.

OP.GG Esports

Connects AI agents to OP.GG Esports data, enabling retrieval of League of Legends match schedules and information.

Grok

Enables interaction with the Grok AI API for chat, completions, embeddings, and model operations.

ECharts

Generates high-quality chart images from ECharts configurations via a Model Context Protocol (MCP) server.

Arduino LLM

Automates the generation, compilation, and uploading of Arduino, ESP8266, and ESP32 firmware using local Large Language Models and Arduino CLI.

A-MEM

Provides an AI-powered memory system for Claude Code, maintaining persistent and evolving contextual understanding across coding sessions.

Flask

Provides a Flask-based server implementation for the Model Context Protocol (MCP), offering out-of-the-box security and operational features for AI agent communication.

MonarchMoney

Enables AI assistants to seamlessly access and analyze personal financial data from MonarchMoney through a Model Context Protocol (MCP) server.

CSE

Provides real-time stock market data from the Colombo Stock Exchange, enabling AI assistants to access current prices and company information.

Nova Research

Conducts open-source research into AI consciousness, quantum coherence, and field-based memory systems, producing verifiable MCP server tools.

SCB

Integrates large language models and AI chatbots with official data and statistics from Statistics Sweden.

Draw Things

Integrates local AI image generation on macOS with Large Language Models through the Draw Things application.

Agent Mux

Orchestrates interactive command-line interface agents using a tmux-backed agent pool and a Model Context Protocol (MCP) server.

Codeix

Provides fast semantic code search for AI agents, enabling them to find symbols, references, and callers across any codebase.

0GMem

Provides a next-generation AI memory system for agents, achieving state-of-the-art performance on long-term conversational memory benchmarks.

Floom

Transforms Python functions with type hints into interactive web applications, complete with auto-generated UI, REST APIs, and shareable links.